AI Engineer – GenAI, Agentic AI

Verizon

. Build and deploy LLM-powered agents and multi-agent workflows that automate business tasks .

Posted 11/12/2026full-timeUnited StatesMid-LevelSenior💰 $81,000 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying LLM-powered agents and workflows, with a strong focus on Generative AI, machine learning, and data science. Proficient in Python, SQL, and cloud computing environments, with the ability to collaborate effectively with cross-functional teams and communicate complex concepts clearly.

Highest-signal resume keywords

LLM Application DevelopmentGenerative AI SolutionsPython ProgrammingCloud Computing (GCP, AWS, Azure)Machine Learning and Data Science

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceGenerative AIPrompt EngineeringRAG Pipeline DevelopmentPythonSQLStatistical AnalysisDeep LearningNatural Language Processing

Soft Skills

Analytical ThinkingProblem SolvingCommunicationCollaborationOwnership

Tools & Technologies

Cloud Computing EnvironmentsVector DatabasesAgent Frameworks (LangChain, LangGraph, CrewAI, AutoGen, Google ADK)Model Context Protocol (MCP)

Certifications & Qualifications

Bachelor's DegreeMaster's Degree or Ph.D. in Quantitative Field

Industry Keywords

AI AgentsBusiness AutomationPerformance TrackingEvaluation MethodsObservability

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Build and deploy LLM-powered agents and multi-agent workflows that automate business tasks
Build retrieval-augmented generation (RAG) pipelines, tool and API integrations, and prompts grounded in enterprise data
Measure agent accuracy, response quality, and latency
Apply evaluation methods, guardrails, and monitoring to keep agents reliable in production
Help deploy agents and models in real-time and batch environments
Track production performance, cost, and drift
Work with business stakeholders and senior engineers to translate requirements into agent solutions
Research and test new LLMs, agent frameworks, and Generative AI methods
Build Generative AI and Agentic AI solutions for Verizon Business Group
Improve sales productivity, customer experience, service operations, and operational efficiency

Requirements

What you’ll need

Bachelor's degree or four or more years of work experience
Four or more years of relevant work experience
Two or more years of hands-on experience in machine learning, data science or AI engineering, including Generative AI or LLM-based projects
Two or more years of experience with Python and SQL
Experience building applications with LLMs, including prompt engineering, RAG and tool or function calling
Experience with cloud computing environments such as GCP, AWS or Azure
Quantitative skills in math, statistics or related fields
Strong analytical instincts and passion for solving business problems with Generative AI
Ability to learn quickly and take ownership of assigned work
Ability to communicate results clearly
Ability to collaborate with global, cross-functional engineering teams
Master's degree or Ph.D. in a quantitative field preferred
Experience building and deploying AI agents to production, including evaluation, guardrails and observability preferred
Experience with vector databases and embedding models preferred
Experience with at least one agent framework, such as LangChain, LangGraph, CrewAI, AutoGen or Google ADK preferred
Familiarity with the Model Context Protocol (MCP) or multi-agent orchestration preferred
Experience with traditional machine learning, deep learning and NLP preferred
Ability to explain technical concepts and results clearly to non-technical audiences preferred

Benefits

Comp & perks

Medical, dental, and vision benefits
Short- and long-term disability insurance
Basic and supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home and auto insurance
Matched 401(k) savings plan
Up to 8 company-paid holidays per year
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Premium pay opportunities, including overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with additional service
Hybrid work arrangement with work from home and a minimum of three days per week in the office
Incentive-based compensation with potential to earn more
Award-winning total rewards package